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Fix typos in README #1

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Fix typos in README #1

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2 changes: 1 addition & 1 deletion README.md
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## Introduction

Strctured data as inputs are once commonly expected to go through the strctured embedding neural functions, while in this repository we try to demonstrate the efficiency simply by re-arranging the structure of input data themselves. Plus, contradictory to the conventional impression that sequence to sequence pipelines were highly dependent on recurrent neural networks, our model makes a step by only adopting lite attention-based neural networks. We will see how it works here.
Structured data as inputs are once commonly expected to go through the structured embedding neural functions, while in this repository we try to demonstrate the efficiency simply by re-arranging the structure of input data themselves. Plus, contradictory to the conventional impression that sequence to sequence pipelines were highly dependent on recurrent neural networks, our model makes a step by only adopting lite attention-based neural networks. We will see how it works here.

## Dependency

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